Data Engineer

Job Title: Senior Data Engineer

Experience: 10+ Years

Job Description

We are seeking a highly skilled Senior Data Engineer with 10+ years of experience in designing, developing, and optimizing enterprise-scale data platforms and pipelines. The ideal candidate will have deep expertise in cloud technologies, modern data engineering practices, ETL/ELT development, and data warehousing to support advanced analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Build robust ETL/ELT processes using modern data engineering tools.
• Develop and optimize cloud-based data warehouses and data lakes.
• Implement data models to support reporting, analytics, and machine learning workloads.
• Optimize SQL queries and improve data processing performance.
• Integrate data from multiple enterprise systems using APIs and cloud-native services.
• Ensure data quality, governance, security, and compliance standards.
• Collaborate with cross-functional teams, including Data Scientists, Analysts, and Architects.
• Troubleshoot production issues and optimize existing data workflows.
• Mentor junior engineers and promote data engineering best practices.

Required Skills

• 10+ years of experience as a Data Engineer.
• Strong expertise in Python, SQL, and PySpark.
• Hands-on experience with Apache Spark.
• Experience with Snowflake, Databricks, Amazon Redshift, or Google BigQuery.
• Strong knowledge of AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
• Experience with ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory (ADF), or Informatica.
• Strong understanding of data modeling, data warehousing, and lakehouse architecture.
• Experience with Kafka or other streaming technologies.
• Proficiency with Git, CI/CD pipelines, and Agile development methodologies.

Preferred Qualifications

• Experience with Delta Lake, Apache Iceberg, or Apache Hudi.
• Knowledge of data governance and security best practices.
• AWS, Azure, or Google Cloud Platform Data Engineering certifications are a plus.  

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